A General Framework for Lifelong Localization and Mapping in Changing Environment

Author:

Zhao Min,Guo Xin,Song Le,Qin Baoxing,Shi Xuesong,Lee Gim Hee,Sun Guanghui

Publisher

IEEE

Cited by 24 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Tightly-Coupled Lidar-Based Lifelong Mapping using Wheels and a MEMS Gyroscope for Mobile Robots in Dynamic Environment;Proceedings of the 2024 3rd International Symposium on Robotics, Artificial Intelligence and Information Engineering;2024-07-05

2. Poles Extraction Based LiDAR Localization for Autonomous Robot Systems;Journal of Systems Science and Complexity;2024-06-11

3. Long-term Map Management in Degraded Scenarios Based on Pose Reference and Information Density;2024 IEEE Intelligent Vehicles Symposium (IV);2024-06-02

4. Proposal of Simultaneous Localization and Mapping for Mobile Robots Indoor Environments Using Petri Nets and Computer Vision;2024-05-28

5. A Two-step Nonlinear Factor Sparsification for Scalable Long-term SLAM Backend;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

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